Title : Data QA Engineer
Location: Minneapolis , Dallas , Atlanta (Onsite)
Job Type : Contract
Exp : 8-15 Years
Key Responsibilities:
- Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
- Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
- Implement data quality checks and monitoring within Azure-based data platforms.
- Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
- Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
- Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
- Define and enforce data quality standards, metrics, and SLAs.
Required Skills & Qualifications:
- Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
- Hands-on expertise with Azure data ecosystem and Databricks.
- Strong programming skills in Python and SQL.
- Experience building automated data validation and reconciliation frameworks.
- Solid understanding of data warehousing, data lakes, and distributed data processing.
- Familiarity with DevOps/CI-CD practices for data platforms.
Preferred Skills:
- Experience with data observability or data quality tools.
- Exposure to cloud-scale analytics and performance optimization.
- Strong communication and stakeholder management skills.